State of the art in metadata abstraction crawlers

Dong, H; Hussain, FK; Chang, E

State of the art in metadata abstraction crawlers

Dong, H Hussain, FK

Chang, E

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the IEEE International Conference on Industrial Technology, 2008
Issue Date:: 2008-10-30

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Field	Value	Language
dc.contributor.author	Dong, H	en_US
dc.contributor.author	Hussain, FK https://orcid.org/0000-0003-1513-8072	en_US
dc.contributor.author	Chang, E	en_US
dc.date.issued	2008-10-30	en_US
dc.identifier.citation	Proceedings of the IEEE International Conference on Industrial Technology, 2008	en_US
dc.identifier.isbn	9781424417063	en_US
dc.identifier.uri	http://hdl.handle.net/10453/29967
dc.description.abstract	Nowadays, the research of crawlers moves closer to the semantic web, along with the appearance of increasing XML/RDF/OWL files and the rapid development of ontology mark-up languages. As an emerging concept, metadata abstraction crawlers are a series of crawlers that aim to abstract metadata from normal HTML documents, based on various semantic web technologies. In this paper, we make a general survey of the current situation of metadata abstraction crawlers. Fourteen cases in this field are chosen as typical examples, and classified in five clusters. From seven perspectives we horizontally compare and contrast the semantic web crawlers in each cluster, and draw our conclusion in the final section.©2008 IEEE.	en_US
dc.relation.ispartof	Proceedings of the IEEE International Conference on Industrial Technology	en_US
dc.relation.isbasedon	10.1109/ICIT.2008.4608573	en_US
dc.title	State of the art in metadata abstraction crawlers	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Chengdu, China	en_US
dc.location.activity	Chengdu, PEOPLES R CHINA
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Nowadays, the research of crawlers moves closer to the semantic web, along with the appearance of increasing XML/RDF/OWL files and the rapid development of ontology mark-up languages. As an emerging concept, metadata abstraction crawlers are a series of crawlers that aim to abstract metadata from normal HTML documents, based on various semantic web technologies. In this paper, we make a general survey of the current situation of metadata abstraction crawlers. Fourteen cases in this field are chosen as typical examples, and classified in five clusters. From seven perspectives we horizontally compare and contrast the semantic web crawlers in each cluster, and draw our conclusion in the final section.©2008 IEEE.

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